Full stack Python

About Course

Fullstack refers to a software development approach where a developer has the skills and knowledge to work on both the front-end (client-side) and back-end (server-side) components of a web application. A fullstack developer is capable of handling the entire software development process, from designing the user interface to implementing the server-side logic and managing databases. Fullstack developers possess a broad skill set that enables them to work on different layers of a web application. 

Duration of Training  :  100 hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training

Hands on Project minimum 1 month duration.

Full Stack Python Training & Certification in Pune

Highly Experienced Certified Trainer with 10+ yrs Exp. in Industry

Realtime Projects, Scenarios & Assignments

COURSE CONTENT :

HTML | CSS5 | JAVASCRIPT | SQL | Python | Django | Flask

HTML CSS  JavaScript Course Content

PART 1 – HTML 5

Module 1 : Web Programming Introduction

• Architecture of a website
• Different technologies in making the website
• Web Development Introduction

Module 2 : HTML-Introduction

• History of HTML
• What you need to do to get going and make your first HTML page
• What are HTML Tags and Attributes?
• HTML Tag vs. Element
• HTML Attributes

Module 3 : HTML-Basic Formatting Tags

• HTML Basic Tags
• HTML Formatting Tags
• HTML Color Coding

Module 4 : HTML-Grouping Using Div Span

• Div and Span Tags for Grouping

Module 5 : HTML-Lists

• Unordered Lists
• Ordered Lists
• Definition list

Module 6 : HTML-Images

• Image and Image Mapping

Module 7 : HTML-Hyperlink

• URL – Uniform Resource Locator
• URL Encoding

Module 8 : HTML-Table

• < table >
• < th >
• < tr >
• < td >
• < caption >
• < thead >
• < tbody >
• < tfoot >
• < colgroup >
• < col >

Module 9 : HTML-Iframe

• Using Iframe as the Target

Module 10 : HTML-Form

• < input >
• < textarea >
• < button >
• < select >
• < label >

Module 11 : HTML-Headers

• Title
• Base
• Link
• Styles
• Script
• Meta

Module 12 : HTML-Miscellaneous

• HTML Meta Tag
• XHTML
• HTML Deprecated Tags & Attributes

PART 2 – CSS 3

Module 1 : CSS3-Introduction

• Benefits of CSS
• CSS Versions History
• CSS Syntax
• External Style Sheet using < link >
• Multiple Style Sheets
• Value Lengths and Percentages

Module 2 : CSS3-Syntax

• CSS Syntax
• single Style Sheets
• Multiple Style Sheets
• Value Lengths and Percentages

Module 3 : CSS3-Selectors

• ID Selectors
• Class Selectors
• Grouping Selectors
• Universal Selector
• Descendant / Child Selectors
• Attribute Selectors
• CSS – Pseudo Classes

Module 4 : CSS3-Color Background Cursor

• background-image
• background-repeat
• background-position
• CSS Cursor

Module 5 : CSS3-Text Fonts

• color
• background-color
• text-decoration
• text-align
• vertical-align
• text-indent
• text-transform
• white space
• letter-spacing
• word-spacing
• line-height
• font-family
• font-size
• font-style
• font-variant
• font-weight

Module 6 : CSS3-Lists Tables

• list-style-type
• list-style-position
• list-style-image
• list-style
• CSS Tables
  • border
  • width & height
  • text-align
  • vertical-align
  • padding
  • color

Module 7 : CSS3-Box Model

• Borders & Outline
• Margin & Padding
• Height and width
• CSS Dimensions

Module 8 : CSS3-Display Positioning

• CSS Visibility
• CSS Display
• CSS Scrollbars
• CSS Positioning
  • Static Positioning
  • Fixed Positioning
  • Relative Positioning
  • Absolute Positioning
• CSS Layers with Z-Index

CSS Floats

• The float Property
• The clear Property
• The clear fix Hack

JAVASCRIPT

Section 1 : Introduction, Setup and Syntax

• Introduction
• Setup
• What is Javascript
• Course Exercise Files
• Practice App & Display Functions

Assignments 1 :

• Using a Code Editor
• Variables
• Arrays

Assignments 2 :

Practice App

Section 2 : Control Structures, Functions, Math & Events

• If Statements
• Loops
• Math
• Functions
• Even Handlers Part:1 (Example:
• Event Handlers Part:2

Assignments 3 :

• Practice App – If Statements and Loops
• Practice App – Math & Functions
• Practice App – Events

Section 3 : Advance Scenario #01

• Printing Arrays
• Text Output Function with a Loop
• Built-in Functions (Displaying the Time In Javascript)
• Math Built-in Functions

Section 4 : Advance Scenario #02

• Assigning, Adding and Removing Elements from Arrays
• Inserting and Extracting From Arrays more functions
• ForloopArray Checking with Challenge Part #1
• ForloopArray Checking with Solution Part #2
• Setting Up Flags and Using Booleans
• Where to go next?
• Quick Syntax Reference/Resource File
• Conclusion

PYTHON

Course Content

Introduction

• What is Python..?
• A Brief history of Python
• Why Should I learn Python..?
• Installing Python
• How to execute Python program
• Write your first program

Variables & Data Types

• Variables
• Numbers
• String
• Lists, Tuples & Dictionary

Conditional Statements & Loops

• if…statement
• if…else statement
• elf…statement
• The while…Loop
• The for…. Loop

Control Statements

• continue statement
• break statement
• pass statement

Functions

• Define function
• Calling a function
• Function arguments
• Built-in functions

Modules & Packages

• Modules
• How to import a module…?
• Packages
• How to create packages

Classes & Objects

• Introduction about classes & objects
• Creating a class & object
• Inheritance
• Methods Overriding
• Data hiding

Files & Exception Handling

• Writing data to a file
• Reading data from a file
• Read and Write data from csv file
• try…except
• try…except…else
• finally
• os module

Module 3 : Getting started with Python Libraries

• what is data analysis ?
• why python for data analysis ?
• Essential Python Libraries
• Installation and setup
• Ipython
• Jupyter Notebook
• 7 VS 3.5

Module 4 :Working with Pandas

• Installing pandas
• Pandas data frames
• Pandas Series
• Data aggregation with Pandas Data Frames
• Concatenating and appending Data Frames
• Joining Data Frames

Module 5 : Data Loading, Storage and file format

• Writing CSV files with numpy and pandas
• JSON Data
• YAML Data

Module 6 : Python Regular Expressions

• What are regular expressions?
• The match Function
• The search Function
• Matching vs searching
• Search and Replace
• Extended Regular Expressions
• Wildcard

Module 7 : Python Oracle Database Access

• Install the cx_Oracle and other Packages
• Create Database Connection
• CREATE, INSERT, READ, UPDATE and DELETE Operation
• DML and DDL Oepration with Databases
• Performing Transactions
• Handling Database Errors
• Disconnecting Database

Module 8 : Django

Module 9 : Flask

Module10 : RESTAPI

Module 11 : Plotting Graph on HTML Page

• Introducing Matplotlib
• Bar Charts
• Line Charts
• Scatter plots
• Bubble charts

DJANGO

1. Introduction to Django Web Framework
2. Introduction to REST and API
3. Introduction to Restful Webservices
4. Django Rest Framework(DRF)
5. DRF Advantages and Constraints
6. Difference between Django and REST API
7. REST API pre-requisites
8. REST API Configuration and Installation
9. Serialization and Deserialization
10. JSON and XML
11. Action and handler methods
12. Function based and class based views
13. API Views
14. Mixins

FLASK

Section 1

• Introduction to Flask
• Using Python packages
• Web frameworks
• Decorators
• Routes
• Running Flask locally
• Building a basic dynamic site
• Debugging a Python program

Python Part 2

• Booleans
• Conditional Statements
• Lists
• Indexing into strings + lists
• Looping over lists

Section 2

• Flask Exercises Part 1
• Using HTML templates
• Jinja2 templating language
• Building a guess-the-number site
• Building a fortune teller site
• Python Part 3
• Dictionaries
• APIs + JSON
• Requests package
• Parsing a JSON response

Section 3

• Flask Exercises Part 2
• Advanced Flask features
• Building a stock price site
• Building a weather site
• Deploying Your Website
• Using a Platform-as-a-Service (PaaS)
• DNS basics
• Adding a custom domain

Designing RESTful Web APIs

Rest API Overview

• What Is REST?
• Course Overview
• History of Distributed Computed
• HTTP in a Nutshell
• HTTP in Action
• What is REST
• An Example of a Well Designed API
• What We’ve Learned

Designing a RESTful API

• Introduction
• Designing for REST
• Demo: Using URIs
• Design Verbs
• Demo: Using Verbs
• Idempotency in Action
• Understanding Idempotency
• Designing Results
• Demo: Designing Your Results
• Formatting Result
• Demo: Formatting Results
• Hypermedia
• What We’ve Learned

Handling More Complex Scenarios in Your API

• Introduction
• Designing Associations
• Demo: Associations
• Designing Paging
• Demo: Paging
• Error Handling
• Demo: Error Handling
• Designing Caching
• Demo: Caching with ETags
• Functional APIs
• Demo: Functional APIs
• Asynchronous APIs
• What We’ve Learned

Versioning Your API

• Introduction
• Should You Version Your APIs
• Designing Versioning
• Demo: Versioning Strategies
• What We’ve Learned

Locking Down Your API

• Introduction
• APIs and Security
• Cross Domain Security
• Authentication and Authorization
• Authentication Types
• Understanding OAuth
• What We’ve Learned

Data Base –

Understanding the Database Schema

• Using Python SQL Libraries to Connect to a Database
• SQLite
• MySQL
• PostgreSQL

Creating Tables

• SQLite
• MySQL
• PostgreSQL

Inserting Records

• SQLite
• MySQL
• PostgreSQL

Selecting Records

• SQLite
• MySQL
• PostgreSQL

Updating Table Records

• SQLite
• MySQL
• PostgreSQL

Deleting Table Records

• SQLite
• MySQL
• PostgreSQL

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